Adaptive Algorithm for Estimation of Two-Dimensional Autoregressive Fields from Noisy Observations

Table 1

Simulation results (, , and SNR = 5 dB).

True; value	LS; mean of estimated value	LS; standard deviation of estimated value	Proposed; mean of estimated value	Proposed; standard deviation of estimated value
= 0.3	0.2221	0.0088	0.2947	0.0217
= 0.2	0.1602	0.0069	0.1957	0.0153
= 0.3	0.2226	0.0073	0.2952	0.0246
= −0.09	−0.0366	0.0084	−0.0863	0.0223
= −0.06	−0.0284	0.0082	−0.0574	0.0137
= 0.2	0.1602	0.0079	0.1955	0.0128
= −0.06	−0.0284	0.0087	−0.0565	0.0140
= −0.04	−0.0217	0.0085	−0.0387	0.0138
RMSE (%)	26.5437		6.1187
NIPT	—		5.5400